A method for mobile credit acquisition is disclosed. The method deploys a shopping incentive offer, the shopping incentive offer for a shopping incentive. A device identifier associated with a user's mobile device is received in response to a user responding to the shopping incentive offer on the user's mobile device. In addition, a user identifier is received for the user. The device identifier and the user identifier are used to obtain user specific information useable for a credit prescreen. The shopping incentive is then provided to the user's mobile device. If the user does pass a credit prescreen, a pre-approved credit offer is also provided to the user via the user's mobile device in conjunction with the shopping incentive.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
2. The system of claim 1 wherein the acceptance message is a text message.
4. The system of claim 1 wherein said shopping incentive offer is located in a physical location within a retail store.
A system provides shopping incentive offers to consumers within a retail store environment. The system includes a mobile device application that communicates with a server to deliver personalized offers based on a consumer's location within the store. The offers are triggered when the consumer enters a specific physical location, such as a product aisle or department, and are displayed on the consumer's mobile device. The system tracks the consumer's movements using location-based technology, such as GPS, Wi-Fi, or Bluetooth beacons, to determine proximity to relevant products or promotions. The offers may include discounts, coupons, or loyalty rewards tailored to the consumer's preferences or purchase history. The system also allows consumers to redeem offers directly through the mobile application, either by scanning a barcode or presenting a digital coupon at checkout. The physical location-based approach ensures that offers are contextually relevant, increasing engagement and conversion rates. The system may also collect data on consumer behavior within the store to optimize future offers and store layouts. This technology enhances the shopping experience by providing timely, location-specific incentives that encourage purchases while reducing the need for printed coupons or manual offer management.
5. The system of claim 1 wherein said shopping incentive offer is broadcast to said user's mobile device when a location of said user's mobile device is in proximity to a retail store providing said shopping incentive offer.
This invention relates to a system for delivering location-based shopping incentive offers to users via mobile devices. The system addresses the problem of inefficient marketing by retailers, where promotions are often broadcast indiscriminately without targeting users who are physically near a store. The invention improves upon this by dynamically detecting a user's mobile device location and transmitting relevant shopping offers only when the user is in proximity to a participating retail store. The system includes a mobile device with location tracking capabilities, a retail store database storing promotional offers, and a server that processes location data to determine when a user is near a store. When proximity is detected, the server retrieves the applicable shopping incentive offer from the database and transmits it to the user's mobile device. The offer may include discounts, coupons, or other promotions specific to the nearby store. The system ensures that users receive timely and relevant offers, increasing the likelihood of engagement and in-store visits. The invention enhances the efficiency of retail marketing by reducing wasted promotions and improving user experience through targeted, location-aware advertising.
6. The system of claim 1 wherein the mobile device identifier is a user's mobile device phone number and the user identifier is a user's zip code.
A system for user authentication and identification in mobile communications involves linking a user's mobile device to a user identifier for secure and personalized interactions. The system addresses the challenge of verifying user identity in mobile transactions by associating a mobile device identifier with a user identifier, ensuring accurate and reliable authentication. In this specific implementation, the mobile device identifier is the user's phone number, while the user identifier is the user's zip code. The phone number serves as a unique and widely recognized identifier for the mobile device, enabling seamless integration with existing telecommunication networks. The zip code acts as a user-specific identifier, providing a geographical or demographic reference that can be used for authentication, service personalization, or fraud detection. By combining these identifiers, the system enhances security and user experience in mobile applications, such as banking, e-commerce, or location-based services. The system may include additional components, such as a server for processing and storing the identifier associations, a database for managing user profiles, and an interface for verifying the identifiers during transactions. This approach ensures that the user's identity is accurately linked to their mobile device, reducing the risk of unauthorized access or identity fraud.
7. The system of claim 1 wherein the user specific information useable for a credit prescreen is a name and a current address.
A system for credit prescreening processes user-specific information to determine eligibility for credit offers. The system collects and analyzes personal data to identify potential candidates for prescreened credit offers. Specifically, the system uses a user's name and current address as key identifiers to assess creditworthiness without requiring a formal credit application. This approach allows financial institutions to target individuals likely to qualify for credit products while minimizing unnecessary inquiries. The system may integrate with databases or third-party services to verify and cross-reference the provided name and address against credit bureau records or other financial data sources. By focusing on these basic identifiers, the system streamlines the prescreening process, reducing the need for extensive personal information while maintaining accuracy in candidate selection. The system may also include additional features such as data validation, risk assessment algorithms, and compliance checks to ensure adherence to regulatory standards. This method enhances efficiency in credit marketing by targeting qualified individuals based on readily available personal information.
8. The system of claim 1 wherein the shopping incentive provider further provides an additional shopping incentive offer to said user, wherein said additional shopping incentive becomes available after said user successfully completes the pre-approved credit offer.
This invention relates to a system for providing shopping incentives to users, particularly in the context of financial services and e-commerce. The system addresses the problem of encouraging users to engage in shopping activities while also promoting financial product adoption, such as credit offers. The core system includes a shopping incentive provider that generates and distributes incentive offers to users, which may be redeemed for discounts, rewards, or other benefits during shopping transactions. The system also integrates with a credit offer approval process, where users can apply for and receive pre-approved credit offers. The invention enhances user engagement by linking shopping incentives to the successful completion of credit offers, creating a mutually beneficial relationship between financial institutions and consumers. Specifically, the system provides an additional shopping incentive offer to a user after they successfully complete a pre-approved credit offer. This additional incentive serves as a reward for the user's financial engagement, further motivating them to utilize the credit product and continue shopping. The system may also track user behavior, adjust incentive offers dynamically, and ensure compliance with financial regulations. The overall goal is to increase user participation in both shopping and financial services while providing tangible benefits to users.
Cooperative Patent Classification codes for this invention.
October 19, 2022
July 30, 2024
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